broom
Convert Statistical Objects into Tidy Tibbles
Summarizes key information about statistical objects in tidy tibbles. This makes it easy to report results, create plots and consistently work with large numbers of models at once. Broom provides three verbs that each provide different types of information about a model. tidy() summarizes information about model components such as coefficients of a regression. glance() reports information about an entire model, such as goodness of fit measures like AIC and BIC. augment() adds information about individual observations to a dataset, such as fitted values or influence measures.
- Version1.0.7
- R version≥ 3.5
- LicenseMIT
- Licensefile LICENSE
- Needs compilation?No
- Languageen-US
- Last release09/26/2024
Documentation
- VignetteWriting new tidier methods
- Vignettesource
- VignetteAvailable methods
- Vignettesource
- VignetteR code
- VignetteTidy bootstrapping
- Vignettesource
- VignetteR code
- VignetteIntroduction to broom
- Vignettesource
- VignetteR code
- Vignettebroom and dplyr
- Vignettesource
- VignetteR code
- Vignettekmeans with dplyr and broom
- Vignettesource
- MaterialREADME
- MaterialNEWS
Team
Simon Couch
David Robinson
Show author detailsRolesAuthorAlex Hayes
Posit Software, PBC
Show author detailsRolesCopyright holder, fndIndrajeet Patil
Derek Chiu
Show author detailsRolesContributorMatthieu Gomez
Show author detailsRolesContributorBoris Demeshev
Show author detailsRolesContributorDieter Menne
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Show author detailsRolesContributorLuke Johnston
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Ethan Christensen
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Nic Crane
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Hideaki Hayashi
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Jasper Cooper
E Auden Krauska
Alex Wang
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Charles Gray
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Chuliang Xiao
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Mara Averick
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R. Willem Vervoort
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Ilaria Prosdocimi
Daniel D. Sjoberg
Alex Reinhart
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- Depends1 package
- Imports10 packages
- Suggests81 packages
- Reverse Depends2 packages
- Reverse Imports181 packages
- Reverse Suggests98 packages